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LM
Lockheed Martin
A/AI Machine Learning Engineering - E2
Career Insights for Machine Learning Engineer
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Based on New Jersey data
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What they do
A Machine Learning Engineer specializes in designing, building, and deploying machine learning models. They utilize statistical and mathematical techniques, parallelizing processing, hyperparameter tuning, and other optimization methodologies to improve model performance. Responsibilities also include collecting and preprocessing large datasets, conducting exploratory data analysis, working closely with data engineers to understand data requirements, and engineer input variables for machine learning models.
$130,801 / year median in New Jersey
Job Description
## Standard Job Description Join the Lockheed Martin Artificial Intelligence Center (LAIC) Mission Operations Center team and be part of a dynamic group that's pushing the boundaries of innovation in radar systems engineering, signal processing, data science, artificial intelligence, and machine learning. As a key member of the Applied AI team, you'll have the opportunity to work on a wide range of projects that are transforming the way we approach complex challenges. With a focus on rapid iteration and deployment, you'll be instrumental in developing and maintaining cutting-edge AI capabilities that are making a real impact across the Lockheed Martin enterprise. What you'll be doing:
- Monitoring and maintaining fielded AI capabilities to ensure optimal performance
- Developing new capabilities to enhance ML monitoring and continuous update processes for deployed systems
- Analyzing customer data to inform ML model performance assessments and updates
- Collaborating with cross-functional teams to address evolving operational requirements
- Working on-site at Moorestown, NJ Who are you: You are a highly motivated and organized individual with a strong working knowledge in radar systems engineering, signal processing, data science, artificial intelligence, and machine learning.
You possess:
- A strong foundation in technical skills, including ML model development and deployment
- Excellent interpersonal and communication skills, with the ability to work effectively in a team environment A self-motivated and proactive approach to work, with a strong work ethic and time management skills
- The ability to work on-site at major Lockheed Martin facilities, with occasional off-hours work required to meet mission needs US citizenship is required for this role #LMLAIC ## Basic Qualifications
- Bachelor's Degree in Engineering, Computer Science, or related field
- Experience with large dataset management and machine learning
- Proficiency in Python and related libraries (e.g. NumPy, Pandas)
- Knowledge of MLOps pipeline and modern machine learning techniques ## Desired Skills
- Master's Degree in Engineering, Computer Science, or other related discipline
- Experience with DevOps tools: Docker, Git [GitLab, GitHub], Continuous Integration [CI], Continuous Deployment [CD]
- Familiarity interfacing with databases (SQL, MongoDB, etc.)
- Experience with modern Computer Vision
- Experience with C++, Java, GO, and other compiled languages
- Experience developing applications on Linux
- Familiarity with network/messaging (UDP, ZeroMQ, RESTful API, etc.)
- Familiarity with high-performance computing
- Familiarity with radar systems and track processing
Pay Information Full-Time Salary Range:
$91200.00 - $169400.00 At Lockheed Martin, we know mission success starts with taking care of our people. Our Total Rewards program is designed to attract top talent, support your well-being, and help you grow—both professionally and personally. The salary range for this position is as listed on the requisition. Please note that the salary information listed is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market(work location) and business considerations when extending an offer.Benefits offered:
Medical, Dental, Vision, Flexible work arrangements and schedules (e.g., 4x10), 401(k) match, Paid time off, Holidays, Parental Leave, EAP, Flexible Spending Accounts, Education Assistance, Life Insurance, Short-Term Disability, and Long-Term Disability.- Annual short-term and/or long-term incentive compensation programs may be offered depending on the position. Payments under these annual programs are not guaranteed and can vary from year to year and are tied to a range of performance metrics.
- For (Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays.